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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
14 years 13 days ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
14 years 11 days ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 9 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...
ENDM
2000
116views more  ENDM 2000»
13 years 8 months ago
Conceptual Models for Combined Planning and Scheduling
Planning and scheduling attracts an unceasing attention of computer science community. Several research areas like Artificial Intelligence, Operations Research and Constraint Prog...
Roman Barták
PRL
2008
161views more  PRL 2008»
13 years 8 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar